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Titlebook: Statistical Data Analysis and Entropy; Nobuoki Eshima Book 2020 Springer Nature Singapore Pte Ltd. 2020 Entropy-based Approaches for Data

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書目名稱Statistical Data Analysis and Entropy
編輯Nobuoki Eshima
視頻videohttp://file.papertrans.cn/877/876392/876392.mp4
概述Helps readers understand entropy and its properties for data analysis.Reconsiders statistical methods from the point of view of entropy and provides new insights for data analysis.Explains the applica
叢書名稱Behaviormetrics: Quantitative Approaches to Human Behavior
圖書封面Titlebook: Statistical Data Analysis and Entropy;  Nobuoki Eshima Book 2020 Springer Nature Singapore Pte Ltd. 2020 Entropy-based Approaches for Data
描述.This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis. Further, it interprets basic statistical methods, such as the chi-square statistic,?t-statistic,?F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determination (ECD) for measuring association and/or predictive powers in association models, and generalized linear models (GLMs). Through association and GLM frameworks, it also describes ECC and ECD in correlation and regression analyses for continuous random variables. In multivariate statistical analysis, canonical correlation analysis,?.T.2.-statistic, and discriminant analysis are discussed in terms of entropy. Moreover, the book explores the efficiency of test procedures in statistical tests of hypothesesusing entropy. Lastly, it presents an entropy-based path analysis for structural GLMs, which is applied in factor analysis and latent structure models. Entropy is an important concept for dealing with the uncertainty of systems of random va
出版日期Book 2020
關(guān)鍵詞Entropy-based Approaches for Data Analysis; Entropy Association Measures; Measuring the Associations i
版次1
doihttps://doi.org/10.1007/978-981-15-2552-0
isbn_softcover978-981-15-2554-4
isbn_ebook978-981-15-2552-0Series ISSN 2524-4027 Series E-ISSN 2524-4035
issn_series 2524-4027
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Nobuoki EshimaHelps readers understand entropy and its properties for data analysis.Reconsiders statistical methods from the point of view of entropy and provides new insights for data analysis.Explains the applica
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Book 2020nterprets basic statistical methods, such as the chi-square statistic,?t-statistic,?F-statistic and the maximum likelihood estimation in the context of entropy. In terms of categorical data analysis, the book discusses the entropy correlation coefficient (ECC) and the entropy coefficient of determin
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Efficiency of Statistical Hypothesis Test Procedures, approaches for discussing efficiency of test procedures derive the same results under an appropriate condition. By using the median test and the Wilcoxon test are discussed as examples, the present discussion is demonstrated.
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